/****************************************************************************** * Copyright (c) 2011, Duane Merrill. All rights reserved. * Copyright (c) 2011-2018, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * Neither the name of the NVIDIA CORPORATION nor the * names of its contributors may be used to endorse or promote products * derived from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE FOR ANY * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * ******************************************************************************/ /****************************************************************************** * Test of DeviceSelect::Unique utilities ******************************************************************************/ // Ensure printing of CUDA runtime errors to console #define CUB_STDERR #include #include #include #include #include #include #include #include #include #include "test_util.h" using namespace cub; //--------------------------------------------------------------------- // Globals, constants and typedefs //--------------------------------------------------------------------- bool g_verbose = false; int g_timing_iterations = 0; int g_repeat = 0; float g_device_giga_bandwidth; CachingDeviceAllocator g_allocator(true); // Dispatch types enum Backend { CUB, // CUB method THRUST, // Thrust method CDP, // GPU-based (dynamic parallelism) dispatch to CUB method }; //--------------------------------------------------------------------- // Dispatch to different CUB DeviceSelect entrypoints //--------------------------------------------------------------------- /** * Dispatch to unique entrypoint */ template CUB_RUNTIME_FUNCTION __forceinline__ cudaError_t Dispatch( Int2Type /*dispatch_to*/, int timing_timing_iterations, size_t */*d_temp_storage_bytes*/, cudaError_t */*d_cdp_error*/, void* d_temp_storage, size_t &temp_storage_bytes, InputIteratorT d_in, OutputIteratorT d_out, NumSelectedIteratorT d_num_selected_out, OffsetT num_items, cudaStream_t stream, bool debug_synchronous) { cudaError_t error = cudaSuccess; for (int i = 0; i < timing_timing_iterations; ++i) { error = DeviceSelect::Unique(d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, stream, debug_synchronous); } return error; } //--------------------------------------------------------------------- // Dispatch to different Thrust entrypoints //--------------------------------------------------------------------- /** * Dispatch to unique entrypoint */ template __host__ __forceinline__ cudaError_t Dispatch( Int2Type /*dispatch_to*/, int timing_timing_iterations, size_t */*d_temp_storage_bytes*/, cudaError_t */*d_cdp_error*/, void *d_temp_storage, size_t &temp_storage_bytes, InputIteratorT d_in, OutputIteratorT d_out, NumSelectedIteratorT d_num_selected_out, OffsetT num_items, cudaStream_t /*stream*/, bool /*debug_synchronous*/) { // The input value type typedef typename std::iterator_traits::value_type InputT; // The output value type typedef typename If<(Equals::value_type, void>::VALUE), // OutputT = (if output iterator's value type is void) ? typename std::iterator_traits::value_type, // ... then the input iterator's value type, typename std::iterator_traits::value_type>::Type OutputT; // ... else the output iterator's value type if (d_temp_storage == 0) { temp_storage_bytes = 1; } else { thrust::device_ptr d_out_wrapper_end; thrust::device_ptr d_in_wrapper(d_in); thrust::device_ptr d_out_wrapper(d_out); for (int i = 0; i < timing_timing_iterations; ++i) { d_out_wrapper_end = thrust::unique_copy(d_in_wrapper, d_in_wrapper + num_items, d_out_wrapper); } OffsetT num_selected = OffsetT(d_out_wrapper_end - d_out_wrapper); CubDebugExit(cudaMemcpy(d_num_selected_out, &num_selected, sizeof(OffsetT), cudaMemcpyHostToDevice)); } return cudaSuccess; } //--------------------------------------------------------------------- // CUDA Nested Parallelism Test Kernel //--------------------------------------------------------------------- /** * Simple wrapper kernel to invoke DeviceSelect */ template __global__ void CnpDispatchKernel( int timing_timing_iterations, size_t *d_temp_storage_bytes, cudaError_t *d_cdp_error, void* d_temp_storage, size_t temp_storage_bytes, InputIteratorT d_in, OutputIteratorT d_out, NumSelectedIteratorT d_num_selected_out, OffsetT num_items, bool debug_synchronous) { #ifndef CUB_CDP (void)timing_timing_iterations; (void)d_temp_storage_bytes; (void)d_cdp_error; (void)d_temp_storage; (void)temp_storage_bytes; (void)d_in; (void)d_out; (void)d_num_selected_out; (void)num_items; (void)debug_synchronous; *d_cdp_error = cudaErrorNotSupported; #else *d_cdp_error = Dispatch(Int2Type(), timing_timing_iterations, d_temp_storage_bytes, d_cdp_error, d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, 0, debug_synchronous); *d_temp_storage_bytes = temp_storage_bytes; #endif } /** * Dispatch to CDP kernel */ template cudaError_t Dispatch( Int2Type dispatch_to, int timing_timing_iterations, size_t *d_temp_storage_bytes, cudaError_t *d_cdp_error, void* d_temp_storage, size_t &temp_storage_bytes, InputIteratorT d_in, OutputIteratorT d_out, NumSelectedIteratorT d_num_selected_out, OffsetT num_items, cudaStream_t stream, bool debug_synchronous) { // Invoke kernel to invoke device-side dispatch CnpDispatchKernel<<<1,1>>>(timing_timing_iterations, d_temp_storage_bytes, d_cdp_error, d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, debug_synchronous); // Copy out temp_storage_bytes CubDebugExit(cudaMemcpy(&temp_storage_bytes, d_temp_storage_bytes, sizeof(size_t) * 1, cudaMemcpyDeviceToHost)); // Copy out error cudaError_t retval; CubDebugExit(cudaMemcpy(&retval, d_cdp_error, sizeof(cudaError_t) * 1, cudaMemcpyDeviceToHost)); return retval; } //--------------------------------------------------------------------- // Test generation //--------------------------------------------------------------------- /** * Initialize problem */ template void Initialize( int entropy_reduction, T *h_in, int num_items, int max_segment) { unsigned int max_int = (unsigned int) -1; int key = 0; int i = 0; while (i < num_items) { // Select number of repeating occurrences for the current run int repeat; if (max_segment < 0) { repeat = num_items; } else if (max_segment < 2) { repeat = 1; } else { RandomBits(repeat, entropy_reduction); repeat = (int) ((double(repeat) * double(max_segment)) / double(max_int)); repeat = CUB_MAX(1, repeat); } int j = i; while (j < CUB_MIN(i + repeat, num_items)) { InitValue(INTEGER_SEED, h_in[j], key); j++; } i = j; key++; } if (g_verbose) { printf("Input:\n"); DisplayResults(h_in, num_items); printf("\n\n"); } } /** * Solve unique problem */ template < typename InputIteratorT, typename T> int Solve( InputIteratorT h_in, T *h_reference, int num_items) { int num_selected = 0; if (num_items > 0) { h_reference[num_selected] = h_in[0]; num_selected++; } for (int i = 1; i < num_items; ++i) { if (h_in[i] != h_in[i - 1]) { h_reference[num_selected] = h_in[i]; num_selected++; } } return num_selected; } /** * Test DeviceSelect for a given problem input */ template < Backend BACKEND, typename DeviceInputIteratorT, typename T> void Test( DeviceInputIteratorT d_in, T *h_reference, int num_selected, int num_items) { // Allocate device output array and num selected T *d_out = NULL; int *d_num_selected_out = NULL; CubDebugExit(g_allocator.DeviceAllocate((void**)&d_out, sizeof(T) * num_items)); CubDebugExit(g_allocator.DeviceAllocate((void**)&d_num_selected_out, sizeof(int))); // Allocate CDP device arrays size_t *d_temp_storage_bytes = NULL; cudaError_t *d_cdp_error = NULL; CubDebugExit(g_allocator.DeviceAllocate((void**)&d_temp_storage_bytes, sizeof(size_t) * 1)); CubDebugExit(g_allocator.DeviceAllocate((void**)&d_cdp_error, sizeof(cudaError_t) * 1)); // Allocate temporary storage void *d_temp_storage = NULL; size_t temp_storage_bytes = 0; CubDebugExit(Dispatch(Int2Type(), 1, d_temp_storage_bytes, d_cdp_error, d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, 0, true)); CubDebugExit(g_allocator.DeviceAllocate(&d_temp_storage, temp_storage_bytes)); // Clear device output array CubDebugExit(cudaMemset(d_out, 0, sizeof(T) * num_items)); CubDebugExit(cudaMemset(d_num_selected_out, 0, sizeof(int))); // Run warmup/correctness iteration CubDebugExit(Dispatch(Int2Type(), 1, d_temp_storage_bytes, d_cdp_error, d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, 0, true)); // Check for correctness (and display results, if specified) int compare1 = CompareDeviceResults(h_reference, d_out, num_selected, true, g_verbose); printf("\t Data %s ", compare1 ? "FAIL" : "PASS"); int compare2 = CompareDeviceResults(&num_selected, d_num_selected_out, 1, true, g_verbose); printf("\t Count %s ", compare2 ? "FAIL" : "PASS"); // Flush any stdout/stderr fflush(stdout); fflush(stderr); // Performance GpuTimer gpu_timer; gpu_timer.Start(); CubDebugExit(Dispatch(Int2Type(), g_timing_iterations, d_temp_storage_bytes, d_cdp_error, d_temp_storage, temp_storage_bytes, d_in, d_out, d_num_selected_out, num_items, 0, false)); gpu_timer.Stop(); float elapsed_millis = gpu_timer.ElapsedMillis(); // Display performance if (g_timing_iterations > 0) { float avg_millis = elapsed_millis / g_timing_iterations; float giga_rate = float(num_items) / avg_millis / 1000.0f / 1000.0f; float giga_bandwidth = float((num_items + num_selected) * sizeof(T)) / avg_millis / 1000.0f / 1000.0f; printf(", %.3f avg ms, %.3f billion items/s, %.3f logical GB/s, %.1f%% peak", avg_millis, giga_rate, giga_bandwidth, giga_bandwidth / g_device_giga_bandwidth * 100.0); } printf("\n\n"); // Flush any stdout/stderr fflush(stdout); fflush(stderr); // Cleanup if (d_out) CubDebugExit(g_allocator.DeviceFree(d_out)); if (d_num_selected_out) CubDebugExit(g_allocator.DeviceFree(d_num_selected_out)); if (d_temp_storage_bytes) CubDebugExit(g_allocator.DeviceFree(d_temp_storage_bytes)); if (d_cdp_error) CubDebugExit(g_allocator.DeviceFree(d_cdp_error)); if (d_temp_storage) CubDebugExit(g_allocator.DeviceFree(d_temp_storage)); // Correctness asserts AssertEquals(0, compare1 | compare2); } /** * Test DeviceSelect on pointer type */ template < Backend BACKEND, typename T> void TestPointer( int num_items, int entropy_reduction, int max_segment) { // Allocate host arrays T* h_in = new T[num_items]; T* h_reference = new T[num_items]; // Initialize problem and solution Initialize(entropy_reduction, h_in, num_items, max_segment); int num_selected = Solve(h_in, h_reference, num_items); printf("\nPointer %s cub::DeviceSelect::Unique %d items, %d selected (avg run length %.3f), %s %d-byte elements, entropy_reduction %d\n", (BACKEND == CDP) ? "CDP CUB" : (BACKEND == THRUST) ? "Thrust" : "CUB", num_items, num_selected, float(num_items) / num_selected, typeid(T).name(), (int) sizeof(T), entropy_reduction); fflush(stdout); // Allocate problem device arrays T *d_in = NULL; CubDebugExit(g_allocator.DeviceAllocate((void**)&d_in, sizeof(T) * num_items)); // Initialize device input CubDebugExit(cudaMemcpy(d_in, h_in, sizeof(T) * num_items, cudaMemcpyHostToDevice)); // Run Test Test(d_in, h_reference, num_selected, num_items); // Cleanup if (h_in) delete[] h_in; if (h_reference) delete[] h_reference; if (d_in) CubDebugExit(g_allocator.DeviceFree(d_in)); } /** * Test DeviceSelect on iterator type */ template < Backend BACKEND, typename T> void TestIterator( int num_items) { // Use a counting iterator as the input CountingInputIterator h_in(0); // Allocate host arrays T* h_reference = new T[num_items]; // Initialize problem and solution int num_selected = Solve(h_in, h_reference, num_items); printf("\nIterator %s cub::DeviceSelect::Unique %d items, %d selected (avg run length %.3f), %s %d-byte elements\n", (BACKEND == CDP) ? "CDP CUB" : (BACKEND == THRUST) ? "Thrust" : "CUB", num_items, num_selected, float(num_items) / num_selected, typeid(T).name(), (int) sizeof(T)); fflush(stdout); // Run Test Test(h_in, h_reference, num_selected, num_items); // Cleanup if (h_reference) delete[] h_reference; } /** * Test different gen modes */ template < Backend BACKEND, typename T> void Test( int num_items) { for (int max_segment = 1; ((max_segment > 0) && (max_segment < num_items)); max_segment *= 11) { TestPointer(num_items, 0, max_segment); TestPointer(num_items, 2, max_segment); TestPointer(num_items, 7, max_segment); } } /** * Test different dispatch */ template < typename T> void TestOp( int num_items) { Test(num_items); #ifdef CUB_CDP Test(num_items); #endif } /** * Test different input sizes */ template void Test( int num_items) { if (num_items < 0) { TestOp(0); TestOp(1); TestOp(100); TestOp(10000); TestOp(1000000); } else { TestOp(num_items); } } //--------------------------------------------------------------------- // Main //--------------------------------------------------------------------- /** * Main */ int main(int argc, char** argv) { int num_items = -1; int entropy_reduction = 0; int maxseg = 1000; // Initialize command line CommandLineArgs args(argc, argv); g_verbose = args.CheckCmdLineFlag("v"); args.GetCmdLineArgument("n", num_items); args.GetCmdLineArgument("i", g_timing_iterations); args.GetCmdLineArgument("repeat", g_repeat); args.GetCmdLineArgument("maxseg", maxseg); args.GetCmdLineArgument("entropy", entropy_reduction); // Print usage if (args.CheckCmdLineFlag("help")) { printf("%s " "[--n= " "[--i= " "[--device=] " "[--maxseg=]" "[--entropy=]" "[--repeat=]" "[--v] " "[--cdp]" "\n", argv[0]); exit(0); } // Initialize device CubDebugExit(args.DeviceInit()); g_device_giga_bandwidth = args.device_giga_bandwidth; printf("\n"); #ifdef QUICKER_TEST // Compile/run basic CUB test if (num_items < 0) num_items = 32000000; TestPointer( num_items, entropy_reduction, maxseg); #elif defined(QUICK_TEST) // Get device ordinal int device_ordinal; CubDebugExit(cudaGetDevice(&device_ordinal)); // Get device SM version int sm_version; CubDebugExit(SmVersion(sm_version, device_ordinal)); // Compile/run quick tests if (num_items < 0) num_items = 32000000; printf("-- Iterator ----------------------------\n"); TestIterator( num_items); printf("----------------------------\n"); TestPointer( num_items * ((sm_version <= 130) ? 1 : 4), entropy_reduction, maxseg); TestPointer( num_items * ((sm_version <= 130) ? 1 : 4), entropy_reduction, maxseg); printf("----------------------------\n"); TestPointer( num_items * ((sm_version <= 130) ? 1 : 2), entropy_reduction, maxseg); TestPointer( num_items * ((sm_version <= 130) ? 1 : 2), entropy_reduction, maxseg); printf("----------------------------\n"); TestPointer( num_items, entropy_reduction, maxseg); TestPointer( num_items, entropy_reduction, maxseg); printf("----------------------------\n"); TestPointer( num_items / 2, entropy_reduction, maxseg); TestPointer(num_items / 2, entropy_reduction, maxseg); printf("----------------------------\n"); TestPointer( num_items / 4, entropy_reduction, maxseg); TestPointer( num_items / 4, entropy_reduction, maxseg); #else // Compile/run thorough tests for (int i = 0; i <= g_repeat; ++i) { // Test different input types Test(num_items); Test(num_items); Test(num_items); Test(num_items); Test(num_items); Test(num_items); Test(num_items); Test(num_items); Test(num_items); Test(num_items); Test(num_items); Test(num_items); Test(num_items); Test(num_items); } #endif return 0; }